Senior Cloud Resilience & Operations Engineer

Capital One

New York (NY)

On-site

USD 215,000 - 246,000

Full time

11 days ago

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Job summary

Capital One is seeking a Senior Engineer to lead cloud operations resilience across a portfolio of distributed microservices and full-stack systems. You will mentor engineers, collaborate with product managers, and deliver robust cloud-based solutions that serve millions of customers.

Expect to work with Java, Scala, Python, Go, Node.js, TypeScript, and various AWS services, containers, and CI/CD practices in an agile environment.

Qualifications

  • Bachelor’s Degree or higher in Computer Science or related field.
  • At least 4 years of software engineering experience.
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
  • Mentor other engineers and participate in internal technology communities.
  • Collaborate with product managers to deliver cloud-based solutions for end users.
  • Utilize Java, Scala, Python, Go, Node.js, JavaScript/TypeScript and databases; leverage Docker and Kubernetes and AWS services.
  • Provide technical leadership across Agile teams and set standards for design, development, and operational excellence.

Skills

Distributed systems
Full‑stack development
Mentoring
Cloud platforms
Open source experience
AWS tools
Docker & Kubernetes
Java/Scala
TypeScript/JavaScript
Go/Python

Education

Bachelor's degree in Computer Science or related field
Master's degree (preferred)

Tools

Docker
Kubernetes
AWS
GCP
Azure
SQL/NoSQL databases
Git

Job description

Capital One is seeking a Senior Engineer to lead cloud operations resilience across a portfolio of distributed microservices and full-stack systems. You will mentor engineers, collaborate with product managers, and deliver robust cloud-based solutions that serve millions of customers.

Expect to work with Java, Scala, Python, Go, Node.js, TypeScript, and various AWS services, containers, and CI/CD practices in an agile environment.

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